This document discusses emerging technology trends and provides an overview of several key trends: smart machines, artificial intelligence, 3D printing, augmented reality, predictive analytics, the internet of things, big data, and wearables. The author's goal is to help the audience understand these rapidly changing technologies and how they will impact how people interact with technology. Each trend is defined and examples are given to illustrate real-world applications and leaders in each field.

1. Prepared by Raoul Gomes
May 26, 2015

2. Introduction
The world is changing so rapidly, with adoption rates being shorter and
shorter. A lot of this is driving innovation at such speed it’s hard to track.

3. Presentation Goal
3
We hear specific technology terms
more frequently, however some
individuals may not know what
they mean.
My goal is to help you understand
the topics that are changing our
world and will most likely continue
to play an integral part in how we
interact with technology.

4. Trends for Discussion
4
There are many technologies starting to enter the corporate world. Some
of these are older (i.e. 3D printing), however, they have once again started
to appear as an ‘innovative’ technology. Trends we’ll cover are as follows:
• Smart Machines
• Artificial Intelligence
• 3D Printing
• Augmented Reality
• Predictive Analytics
• Internet of Things
• Big Data
• Wearables

5. What is a Trend?
5
What classifies a technology for being a trend? I state two factors:
1. The adoption rates for the technology.
2. The potential of becoming a disrupter.
A disruptive innovation is one
that helps create a new market
and value network, and
eventually disrupts an existing
market and value network,
displacing an earlier technology.

6. Smart Machines / Machine Helpers
6
Smart machines are systems that
use machine learning to perform
work traditionally conducted by
humans in an effort to boost
efficiency and productivity.
These are smarter multitask
machines that are more robust,
powerful, and flexible.

7. Smart Machines – How they work
7
This technology is possible using deep analytics applied to an
understanding of context. It is combined with advanced algorithms
allowing systems to understand their environment, learn for themselves,
and act autonomously.

8. Smart Machines – Categories
8
Smart machines can be divided into three categories:
• Movers: autonomous robots that can move items from points A to B
without human intervention. Google’s Prototype autonomous vehicles.
• Doers: robots that use sensors, cameras and machine learning to
perform complex tasks like scheduling or handling and manipulating
small objects. Tesla Factory or Amazon warehouse.
• Sages: Information-based helpers that rely on context and a
familiarity with their users' environments and patterns to provide
options and recommendations. Amy the virtual personal assistants at
www.x.ai

9. Internet Everywhere – Mobile & Internet
9
The Cell Phone and Internet, being the most recent two new
technologies that have attained mass adoption, are driving most of the
conversation when discussing tech trends.
The combination of these has driven an increasing adoption rate.

10. Internet Everywhere – Leaders
10
Project Loon is a research and development project
developed by Google with the mission of providing
Internet access to rural and remote areas. The
project uses high-altitude balloons placed in the
stratosphere to create an aerial wireless network.
Internet.org is a partnership between Facebook and
six mobile phone companies to bring affordable
access of selected Internet services to less
developed countries through network efficiencies and
new business models around the provision of Internet
access.

11. Internet Everywhere – Business Model
11
The idea is to not charging end-customers on data used by specific
applications or internet services through the mobile network. The
industry term is know as zero-rating or commonly known as Toll-Free.
Facebook, Wikipedia, and Google want to harness the development of
new business models around the provision of Internet access using this
concept in providing their service more broadly into developing markets.

12. Internet Everywhere – Challenge
12
In plain terms, users would have a subsidised access to services from
these service providers. However, there is a cautionary note, in particular
around net neutrality. Some believe that this would lead to a closed
internet, of which aligns with to the industry’s desire for Internet 2.
The Subsecretaria de Telecomunicaciones of Chile ruled that this
practice violated net neutrality laws and had to end by June 1, 2014.

13. Artificial Intelligence
13
Artificial intelligence (AI) is the intelligence exhibited by machines or
software. These systems have the capability of learning and teaching
themselves.
This builds on the concept of Machine Learning, however extends more
broadly to include other areas such as ability to have natural language
processing, knowledge representation, and automated reasoning.

14. Artificial Intelligence - Leaders
14
The most recognizable companies out there working the area of how to
create computers and software that are capable of intelligent behaviour
are IBM (Watson), Google (Search Engine/Self driving cars), Microsoft
(Cortana), and Baidu (Minwa).
This industry has progressed
at an increasing rate with the
advent of cheaper parallel
computing, big data, and better
algorithms.

15. Artificial Intelligence – IBM Watson
15
Cognitive Cooking with Chef Watson includes 65 recipes. Instead of
dealing with dishes at an ingredient level, Watson looks at the actual
chemicals that control taste and how one food pairs with another to
come up with new ideas that would not logically be combined.

16. Artificial Intelligence – Baidu Minwa
16
Chinese’ Baidu Minwa supercomputer AI trumps Google, Microsoft and
humans at image recognition. This supercomputer scanned more than 1
million images and taught itself to sort them into 1,000 categories with a
95.42% accuracy.

17. 3D Printing
17
This technology is already considered older, however with the advent
of new alloys, quicker printer technology, more powerful computer
processing, reduced costs, and the transfer of printing schematics
via internet have driven this technology to the forefront.

18. 3D Printing - Examples
18
There are a few neat examples of where 3D printing is having great
impact:
• Healthcare, where organs, bones, custom hip joints, are printed
• 3D printing guns, bypassing statues that infringe common-law rights.
• Food with elaborate designs.
• Tools in outer space, rather than taking each tool, a printer is taken.
• Mechanical engineering having cheaper, stronger, and lighter parts.
All this leads to more precise work, less labour required, quicker
turnaround, less waist, higher quality.

19. Augmented Reality
19
Augmented reality is a live direct or indirect view of a physical, real-
world environment whose elements are augmented (or
supplemented) by computer-generated sensory input such as
sound, video, graphics, or GPS data.

20. Augmented vs. Virtual Reality
20

21. Predictive Analytics
21
Large amounts of data continue to be collected within and outside of the
enterprise. From such places as social media, IoT, wearables etc.
Predictive analytics is the practice of extracting information from these
existing data sets and analyzing it in order to determine patterns. Thus,
allowing for information to be delivered to the right individuals or systems
at the right time.

22. Predictive Analytics – Big Answers
22
It predict future outcomes and trends but does not tell you what will
happen in the future. Big data remains an important enabler for this
trend, however the value is in the big answers to the big questions and
not necessarily the data.

23. Internet of Things
23
The Internet of Things (IoT) is the network of physical objects or "things"
embedded with electronics, software, sensors and connectivity.
The goal is to provide greater value and service by exchanging data with
the manufacturer, operator, and/or other connected devices.

24. Internet of Things – Ecosystem
24
The IoT ecosystem is complex and diverse.
The areas of focus that make sum the
concept are the consumer play, along with the
software and hardware.
The applications of this technology span:
• Media
• Environmental monitoring
• Infrastructure management
• Manufacturing
• Energy management
• Medical & healthcare systems
• Building & home automation
• Transportation
• Large scale deployments

25. Big Data
25
Big data is term used to describe a massive volume of both structured
and unstructured data that is so large it is difficult to process using
traditional database and software techniques.
In the next five years, data
growth is set to increase
by 800 percent and even
now, 90 percent of all of
the data that exists in the
world was created in the
last two years.

26. Big Data – Actionable Intelligence
26
Correlations are completed by taking data from various sources and
making actionable intelligence. This doesn’t necessarily mean you
should always act on it.
Example when NOT to use:
Sending flyers for baby items to
a teen living at home who just
bought a pregnancy test, or was
searching ‘am I pregnant’ in
google search.

27. Wearables
27
Wearable technology, wearables, fashionable technology, wearable
devices, tech togs, or fashion electronics are clothing and accessories
incorporating computer and advanced electronic technologies.
Applications of this technology lie in health, AR, connected products, etc.

28. Other Trends
28
I encourage you to continue exploring other trends not listed in this
presentation. They can include, and are not limited to:
• Biometrics
• Bitcoin
• Crowd Sourcing
• QR Codes
• Drones
• Self-driving cars
• Robotics
• Bio-chips
• Nanotechnology
• Smart Dust
• Batteries